xuchang-66 opened a new issue, #9330: URL: https://github.com/apache/iceberg/issues/9330
### Query engine spark v3.3 iceberg v1.2.2 ### Question When using Spark SQL to write to Iceberg table, only one task is used to write to each partition. However, when dealing with significantly large partition data (e.g., 20GB in a single partition), the write speed becomes very slow. What settings can be configured to increase concurrency and improve write speed in such scenarios?   -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@iceberg.apache.org.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@iceberg.apache.org For additional commands, e-mail: issues-h...@iceberg.apache.org